TY - JOUR
T1 - Review of application of AI techniques to Solar Tower Systems
AU - Milidonis, Kypros
AU - Blanco, Manuel J.
AU - Grigoriev, Victor
AU - Panagiotou, Constantinos F.
AU - Bonanos, Aristides M.
AU - Constantinou, Marios
AU - Pye, John
AU - Asselineau, Charles Alexis
N1 - Publisher Copyright:
© 2021 International Solar Energy Society
PY - 2021/8
Y1 - 2021/8
N2 - Artificial Intelligence (AI) is increasingly playing a significant role in the design and optimization of renewable energy systems. Many AI approaches and technologies are already widely deployed in the energy sector in applications such as generation forecasting, energy efficiency monitoring, energy storage, and overall design of energy systems. This paper provides a review of the applications of key AI techniques on the analysis, design, optimization, control, operation, and maintenance of Solar Tower systems, one of the most important types of Concentrating Solar Thermal (CST) systems. First, key AI techniques are briefly described and relevant examples of their application to CST systems in general are provided. Subsequently, a detailed review of how these AI techniques are being used to advance the state of the art of solar tower systems is presented. The review is structured around the different subsystems of a solar tower system.
AB - Artificial Intelligence (AI) is increasingly playing a significant role in the design and optimization of renewable energy systems. Many AI approaches and technologies are already widely deployed in the energy sector in applications such as generation forecasting, energy efficiency monitoring, energy storage, and overall design of energy systems. This paper provides a review of the applications of key AI techniques on the analysis, design, optimization, control, operation, and maintenance of Solar Tower systems, one of the most important types of Concentrating Solar Thermal (CST) systems. First, key AI techniques are briefly described and relevant examples of their application to CST systems in general are provided. Subsequently, a detailed review of how these AI techniques are being used to advance the state of the art of solar tower systems is presented. The review is structured around the different subsystems of a solar tower system.
KW - Artificial intelligence
KW - Artificial neural networks
KW - Central receiver systems
KW - Concentrating solar thermal
KW - Metaheuristics
KW - Optimization
KW - Solar towers
UR - http://www.scopus.com/inward/record.url?scp=85109113396&partnerID=8YFLogxK
U2 - 10.1016/j.solener.2021.06.009
DO - 10.1016/j.solener.2021.06.009
M3 - Article
SN - 0038-092X
VL - 224
SP - 500
EP - 515
JO - Solar Energy
JF - Solar Energy
ER -